Evidence map›Paper›PMID 39290827›Full record

ArticleRadiologia brasileira

Evaluation of glial tumors: correlation between magnetic resonance imaging and histopathological analysis.

Lillian Gonçalves Campos, Francine Hehn de Oliveira, Ápio Cláudio Martins Antunes, Juliana Ávila Duarte

Abstract read
In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lillian Gonçalves CamposDepartment of Radiology, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.ORCID 0000-0002-5064-7190
Francine Hehn de OliveiraDepartment of Radiology, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.ORCID 0000-0002-1947-0569
Ápio Cláudio Martins AntunesDepartment of Radiology, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.ORCID 0000-0002-2263-5125
Juliana Ávila DuarteDepartment of Radiology, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.ORCID 0000-0003-4973-2889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the correlation of conventional and diffusion-weighted imaging findings on magnetic resonance imaging (MRI) of the brain, based on Visually AcceSAble Rembrandt Images (VASARI) criteria, with the histopathological grading of gliomas: low-grade or high-grade. Materials and Methods: Preoperative MRI scans of 178 patients with brain gliomas and pathological confirmation were rated by two neuroradiologists for tumor size, location, and tumor morphology, using a standardized imaging feature set based on the VASARI criteria. Results: In the univariate analysis, more than half of the MRI characteristics evaluated showed a significant association with the tumor grade. The characteristics most significantly associated with the tumor grade were hemorrhage; restricted diffusion; pial invasion; enhancement; and a non-contrast-enhancing tumor crossing the midline. In a multivariable regression model, the presence of enhancement and hemorrhage maintained a significant association with high tumor grade. The absence of contrast enhancement and restricted diffusion were associated with the presence of an isocitrate dehydrogenase gene mutation. Conclusion: Our data illustrate that VASARI MRI features, especially intratumoral hemorrhage, contrast enhancement, and multicentricity, correlate strongly with glial tumor grade.

Indexed as

Brain neoplasmsGliomaIsocitrate dehydrogenaseMagnetic resonance imagingNeoplasm grading

Identifiers

PMID39290827
PMCPMC11406976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.